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From Shashank Rachamalla <>
Subject Automatic scaling decisions based on performance metrics
Date Mon, 08 Feb 2010 13:05:38 GMT

I am currently involved in developing a module which performs automatic
scaling of application server instances based on their performance. I am
using JMX to pull data pertaining to server and underlying jvm on which
the applications are deployed. I can also collect performance data for
guest operating system.  We are using mod_jk as load balancer. The
challenging task here is to decide when to scale out and when to scale
in. Please suggest some strategies used to determine the load at a
cluster level based on which scaling decisions can be taken. Also can
any scaling decisions be taken by considering performance statistics of
a single instance in a cluster.

The following are parameters currently monitored for each server

Guest OS

1) CPU Usage
2) Swap Usage


1) JVM Free Memory

App Server ( context is / )

1) Maximum Request Processing Time.
2) Number of errors processing requests.
3) Number of errors encountered while processing requests.


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